Senior Product Designer

We made history and now we work to transform the future – for our customers, our communities and our families. You'll see your work on the road every day, helping people move freely and pursue their dreams. At Ford, you can build more than vehicles. Come build what matters.

Do you believe data tells the real story? We do! Redefining mobility requires quality data, metrics and analytics, as well as insightful interpreters and analysts. That's where Global Data Insight & Analytics makes an impact. We advise leadership on business conditions, customer needs and the competitive landscape. With our support, key decision makers can act in meaningful, positive ways. Join us and use your data expertise and analytical skills to drive evidence-based, timely decision making.

In this position...

Ford Motor Company's Global Data Insights & Analytics (GDI&A) department crafts innovative services to prepare smart vehicles for a smart world. Here in the data science division, we apply user experience principles to ensure our methods serve our end users. We are an advanced team operating at the forefront of artificial intelligence, designing not just interfaces, but intelligent systems, agentic workflows, and dynamic data experiences.

Our product designers oversee a portfolio of product teams, identifying patterns and use cases across the portfolio to better serve their end users. They apply a design thinking mindset, user research skills, and business strategy to align teams around a human-centric roadmap.

For this role, we are looking for a technical Product Designer to define and execute the future of our AI-driven Insight and Analytics products. You will collaborate closely with product managers, data scientists, AI engineers, and fellow designers. A hybrid skillset encompassing end-to-end product design, stakeholder management, compelling multimedia storytelling, and a technical AI toolkit is essential to success.

Research chops, strong leadership skills, and diversity of experience are all a plus!

Based in Dearborn, MI, this is a hybrid position with a required four-day onsite presence each week 

What you'll do...

• Design Strategy & Execution: Translate complex product requirements into intuitive user experiences for a suite of advanced analytics and AI-driven products. Collaborate with Product Managers to shape the roadmap, manage the design backlog, and contribute UX requirements to PRDs.
• User Discovery & Empathy: Champion the user’s perspective throughout the product lifecycle. Conduct hands-on generative and evaluative research (contextual inquiry, user interviews, usability testing) to identify friction points in complex data workflows and translate those needs into intuitive AI features.
• End-to-End UX/UI Design: Transform user research into actionable artifacts (journey maps, service blueprints, personas). Craft elegant, user-centric flows and high-fidelity interactive prototypes tailored for data-rich, AI-native environments.
• AI Prototyping & Technical Collaboration: Utilize a working knowledge of Python, AI agents, and modern LLM frameworks to build functional design prototypes and bridge the gap with engineering. Design seamless interactions that leverage Model Context Protocols (MCPs) to connect users with AI agents and internal data sources.
• Data Visualization & Interaction Design: Partner with engineering to "bring data to life." Design robust modular UI components and intuitive insights dashboards that allow users to easily interpret complex KPIs, interact dynamically with AI models, and take immediate action.
• Design Storytelling & Multimedia: Translate complex AI concepts into clear, engaging visual narratives. Design and produce compelling product demo videos, walkthroughs, and multimedia content to communicate design intent, user value, and product vision to both technical and business stakeholders.
• Cross-Functional Collaboration: Evangelize human-centered design within your agile team. Advocate for your design decisions using research-backed insights. Co-facilitate design thinking sessions and workshops with data scientists, engineers, and business stakeholders to solve ambiguous problems.
• Data-Driven Iteration: Balance user needs (Desirability) with business objectives (Viability) and technical feasibility (Feasibility). Partner with Analytics to evaluate design success and iterate continuously on UI/UX features using usage data, NPS, a